Papers with Code 아카이브

Hallucination

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

0

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/baylor-ai/halludetect

Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models

https://github.com/billxbf/rewoo

ReAct: Synergizing Reasoning and Acting in Language Models

https://github.com/charlesCXK/3D-SketchAware-SSC

3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior

https://github.com/charlesCXK/TorchSSC

3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior

https://github.com/chen-gx/toolevo

ToolQA: A Dataset for LLM Question Answering with External Tools

https://github.com/chengtan9907/mc-cot

Multimodal Chain-of-Thought Reasoning in Language Models

https://github.com/chenguolin/DiffSplat

View Selection for 3D Captioning via Diffusion Ranking

https://github.com/codelion/adaptive-classifier

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

https://github.com/comp-imaging-sci/hallucinations-tomo-recon

On hallucinations in tomographic image reconstruction

https://github.com/craftjarvis/rat

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation

https://github.com/crockwell/cap3d

View Selection for 3D Captioning via Diffusion Ranking

https://github.com/d-ailin/blind-faith-in-text

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

https://github.com/damo-nlp-sg/inf-clip

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

https://github.com/deeplearningnapratica/pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

https://github.com/deperiaskerre/qkg

Retrieval-Augmented Generation for Large Language Models: A Survey

https://github.com/dongping-chen/mllm-as-a-judge

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

https://github.com/eltechno/pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

https://github.com/exgc/r1v-free

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

https://github.com/fdu-ins/ins-mmbench

Harnessing GPT-4V(ision) for Insurance: A Preliminary Exploration

https://github.com/fuxiaoliu/mmc

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

https://github.com/geekan/metagpt

GameGPT: Multi-agent Collaborative Framework for Game Development

https://github.com/google-research/chain-of-table

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning

https://github.com/h-zhao1997/cobra

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

https://github.com/hammoudhasan/diffclip

Differential Transformer

https://github.com/hitz-zentroa/gollie

EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models

https://github.com/hkust-nlp/agentboard

ReAct: Synergizing Reasoning and Acting in Language Models

https://github.com/hsliu-initial/ctrla

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

https://github.com/iinemo/llm-uncertainty-head

A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs

https://github.com/infiagent/infiagent

ReAct: Synergizing Reasoning and Acting in Language Models

https://github.com/innerNULL/simpler-distil-whisper

Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

https://github.com/jattardo1/pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

https://github.com/jerryyli/valhalla-nmt

VALHALLA: Visual Hallucination for Machine Translation

https://github.com/jesse1029/SiGAN

SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination

https://github.com/kahnchana/locvlm

Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs

https://github.com/kainoj/keep-pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

https://github.com/kingsj0405/pulse-any-image

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.